Trade

sell - WIF

Status

win

2025-05-03 08:25:04

1 hour

PNL

0.93

Entry: 0.5934

Last: 0.58790000

Results

Status:

win

Trade Type:

sell

Prediction Score: 5.1977

Prediction 1	Accuracy
Weak Trade	n/a

Prediction 2	Accuracy
0	n/a

ML Trade Score: 120

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.01
atr: 0.002464043414

Details

score: 1.01
1H
ema9 - 0.601301
ema21 - 0.612605
ema50 - 0.618327
price_ema9_diff - -0.012898
ema9_ema21_diff - -0.0184526
ema21_ema50_diff - -0.00925396
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.379258
kc_percentage - 0.0617864
kc_width_percentage - 0.071826
15m
ema9 - 0.589071
ema21 - 0.595576
ema50 - 0.607788
price_ema9_diff - 0.0072681
ema9_ema21_diff - -0.0109228
ema21_ema50_diff - -0.0200929
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.411006
kc_percentage - 0.415999
kc_width_percentage - 0.032124
5m
ema9 - 0.589037
ema21 - 0.588506
ema50 - 0.593386
price_ema9_diff - 0.0074122
ema9_ema21_diff - 0.000903668
ema21_ema50_diff - -0.00822464
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.621677
kc_percentage - 1.00975
kc_width_percentage - 0.0164528

Short Trade on WIF

The 03 May 2025 at 08:25:04

With 2164 WIF at 0.5934$ per unit.

Position size of 1284 $

Take profit at 0.5879 (0.93 %) and Stop Loss at 0.5971 (0.62 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -44.25 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
BTC	2025-06-17 15:03:56	0.9687	-100	2
1000000MOG	2025-06-17 15:16:42	0.9688	-100	1
BCH	2025-06-01 07:48:40	0.9671	36	5
ZRO	2025-05-17 00:21:45	0.9667	-100	2
AAVE	2025-04-02 03:42:19	0.9661	60	1
1000BONK	2025-05-03 08:37:32	0.9653	-100	1
RAY	2025-05-30 14:15:56	0.9648	-100	1
PAXG	2025-05-01 01:44:41	0.9641	50	1

📌 Time Data

Start at	Closed at	Duration
03 May 2025 08:25:04	03 May 2025 09:30:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.5934	0.5971	0.5879	1.5	0.8891

Details

Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

Entry 0.5934
Stop Loss: 0.5971
Take Profit: 0.5879

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.5971 - 0.5934 = 0.0036999999999999
Récompense (distance jusqu'au take profit):

E - TP = 0.5934 - 0.5879 = 0.0055000000000001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0055000000000001 / 0.0036999999999999 = 1.4865

📌 Position Size

Amount	Margin	Quantity	Leverage
1284	100	2164	12.84

Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

Account Size 100
Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

Risk Amount 8
Distance Stop Loss 0.0036999999999999

Taille de position = 8 / 0.0036999999999999 = 2162.16

Taille de position USD = 2162.16 x 0.5934 = 1283.03

Donc, tu peux acheter 2162.16 avec un stoploss a 0.5971

Avec un position size USD de 1283.03$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2162.16 x 0.0036999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2162.16 x 0.0055000000000001 = 11.89

Si Take Profit atteint, tu gagneras 11.89$

Résumé

Taille de position 2162.16
Taille de position USD 1283.03
Perte potentielle 8
Gain potentiel 11.89
Risk-Reward Ratio 1.4865

📌 Peformances

TP % Target	TP $ Target
0.93 %	12 $

SL % Target	SL $ Target
0.62 %	8 $

PNL	PNL %
12 $	0.93

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
0 %	0 %	0

📌 ML Extra Data

Extra TP Data


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    [2] => Array
        (
            [take_profit] => 0.586
            [stop_loss] => 0.5971
            [rr_ratio] => 2
            [closed_at] => 2025-05-03 12:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.58415
            [stop_loss] => 0.5971
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-03 12:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.5823
            [stop_loss] => 0.5971
            [rr_ratio] => 3
            [closed_at] => 2025-05-03 12:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.58045
            [stop_loss] => 0.5971
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-03 12:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.5786
            [stop_loss] => 0.5971
            [rr_ratio] => 4
            [closed_at] => 2025-05-03 12:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.57675
            [stop_loss] => 0.5971
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-03 12:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.5749
            [stop_loss] => 0.5971
            [rr_ratio] => 5
            [closed_at] => 2025-05-03 13:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.57305
            [stop_loss] => 0.5971
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-03 13:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.5712
            [stop_loss] => 0.5971
            [rr_ratio] => 6
            [closed_at] => 2025-05-03 13:05:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)